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» Modelling Smooth Paths Using Gaussian Processes
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FSR
2007
Springer
106views Robotics» more  FSR 2007»
13 years 11 months ago
Modelling Smooth Paths Using Gaussian Processes
Christopher Tay Meng Keat, Christian Laugier
NAACL
2003
13 years 6 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
ICIP
2006
IEEE
14 years 6 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
IJCNLP
2004
Springer
13 years 10 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer
ETT
2002
92views Education» more  ETT 2002»
13 years 4 months ago
Most probable paths and performance formulae for buffers with gaussian input traffic
In this paper, performance formulae for a queue serving Gaussian traffic are presented. The main technique employed is motivated by a general form of Schilder's theorem, the ...
Ron Addie, Petteri Mannersalo, Ilkka Norros